Yingshi Zheng: h-index, Total Citations, and Citation Map
Yingshi Zheng's h-index is 8 (8 i10-index, 288+ total citations across 5+ publications) according to Google Scholar as of May 2026. Yingshi Zheng is affiliated with Unknown affiliation.
Yingshi Zheng is a researcher affiliated with Unknown affiliation, specializing in various fields. Their work has been cited 288 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Yingshi Zheng's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 8
- i10-Index
- 8
- Total Citations
- 288
- Citing Countries
- 2
As of May 2026.
Yingshi Zheng has an h-index of 8 and 288 total citations across 5 publications, with research cited by institutions in 2 countries.
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Top Cited Works
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Who’s the boss? Arbitrating control authority between a human driver and automation system
202051
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Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
The researcher established a model-free predictor framework for teleoperated vehicles, providing an experimental evaluation that addresses latency challenges in remote control systems.
The researcher developed a predictor-based framework for delay compensation in networked closed-loop systems, establishing a foundational approach for managing latency in control engineering.
The researcher developed a framework for arbitrating control authority between human drivers and automation systems, addressing critical safety and usability challenges in shared-control autonomous vehicles.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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